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For Companies At a Glance
- Tasks: Engage customers and create tailored solutions using our innovative Lakehouse Platform.
- Company: Join Databricks, a leading data and AI company trusted by over 10,000 organisations globally.
- Benefits: Enjoy comprehensive benefits, remote work options, and a culture that values diversity and inclusion.
- Why this job: Be part of a mission to revolutionise data interaction and make a positive impact on businesses.
- Qualifications: Experience in technical pre-sales, coding skills, and ability to influence decision-makers required.
- Other info: Opportunity for continuous development in various tracks, including technical and people management.
The predicted salary is between 43200 - 72000 £ per year.
At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Lakehouse Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!
The Impact You Will Have
- Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
- Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
- You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.
- Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
- Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
- Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.
What We Look For
- Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
- Ideally, candidates will have experience in the following industry sectors: FSI, Logistics, HLS.
- Ability to influence influential decision-makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers.
- Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
- Hands-on expertise with complex proofs-of-concept and public cloud platform(s).
- Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.
- Nice to have: Databricks Certification.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.
Senior Presales Solutions Architect (Digital Native Business, Start-up) employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Presales Solutions Architect (Digital Native Business, Start-up)
✨Tip Number 1
Familiarise yourself with Databricks' Lakehouse Platform and its key features. Understanding how it addresses complex data challenges will help you engage effectively with potential customers and demonstrate your expertise during discussions.
✨Tip Number 2
Network with current or former employees of Databricks to gain insights into the company culture and expectations for the Senior Presales Solutions Architect role. This can provide you with valuable information that can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience in engaging with C-level executives and influencing decision-makers. Highlight specific examples where you've successfully navigated complex customer interactions, as this is crucial for the role.
✨Tip Number 4
Stay updated on industry trends related to data analytics and cloud solutions. Being knowledgeable about the competitive landscape will allow you to articulate how Databricks stands out and how you can contribute to its mission.
We think you need these skills to ace Senior Presales Solutions Architect (Digital Native Business, Start-up)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Presales Solutions Architect position. Tailor your application to highlight relevant experiences that align with the job description.
Highlight Technical Expertise: Emphasise your technical skills, especially in programming languages like Python, Java, or Scala, as well as your experience with cloud platforms. Provide specific examples of how you've used these skills in previous roles.
Showcase Customer Engagement Experience: Demonstrate your ability to engage with customers and influence decision-makers. Include examples of past interactions where you successfully navigated complex customer needs and provided tailored solutions.
Craft a Compelling Cover Letter: Write a cover letter that not only summarises your CV but also conveys your passion for data analytics and your alignment with Databricks' mission. Make it personal and specific to the role, showing why you're the perfect fit.
How to prepare for a job interview at Databricks
✨Understand the Company Culture
Before your interview, take some time to research Databricks' core values and culture. They emphasise proactiveness and a customer-centric mindset, so be prepared to discuss how your experiences align with these values.
✨Showcase Your Technical Expertise
As a Senior Presales Solutions Architect, you'll need to demonstrate your technical skills. Be ready to discuss your experience with programming languages like Python or Java, and any hands-on expertise you have with cloud platforms and proofs-of-concept.
✨Prepare for Customer Engagement Scenarios
Since the role involves developing customer engagement strategies, think of examples where you've successfully influenced decision-makers or navigated complex customer interactions. Highlight your ability to build relationships and orchestrate teams.
✨Be Ready to Discuss Industry Knowledge
Familiarise yourself with the industry sectors mentioned in the job description, such as FSI, Logistics, and HLS. Prepare to discuss how your knowledge of these sectors can help Databricks provide tailored solutions to their clients.
